7 citations · 18 across the 17 of their papers we have counts for
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math.OC2019★ 1 cited
Riemannian Proximal Gradient Methods (extended version)
Wen Huang, Ke Wei
In the Euclidean setting, the proximal gradient method and its accelerated variants are a class of efficient algorithms for optimization problems with decomposable objective. In th…
math.OC2019★ 4 cited
An Extension of Fast Iterative Shrinkage-thresholding to Riemannian Optimization for Sparse Principal Component Analysis
Wen Huang, Ke Wei
Sparse principal component analysis (PCA), an important variant of PCA, attempts to find sparse loading vectors when conducting dimension reduction. This paper considers the nonsmo…